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Memory and resource allocation are fundamental operations inside the Linux kernel. Whether assigning device IDs, managing CPU masks, allocating interrupt vectors, or tracking hardware resources, the k
The Linux scheduler is one of the most important components of the operating system. Every running program, background service, and kernel thread eventually interacts with the scheduler. In this artic
Linux Kernel Mutexes Explained with a Mini Driver Concurrency is a fundamental aspect of Linux kernel programming. Device drivers often execute in multiple contexts, making synchronization essential w
Modern Linux kernel development is fundamentally about correctness under concurrency. Whether we're writing a character driver, platform driver, network subsystem, or filesystem code, multiple executi
A hands-on Linux Kernel Module (LKM) demonstrating kernel mutexes, kernel threads, critical sections, thread synchronization, and proper module lifecycle management. Table of Contents Overview Lear
Introduction Concurrency is everywhere inside the Linux kernel. Multiple threads, processes, softirqs, tasklets, and interrupt handlers can access the same shared data simultaneously. Without synchron
Introduction While studying concurrent network programming, I explored how to implement a worker pool in F# using MailboxProcessor, F#'s built-in actor abstraction. The example launches multiple worke
Introduction Concurrency is everywhere inside the Linux kernel. Multiple execution contexts may attempt to access the same data simultaneously, leading to race conditions and corrupted state. In this
Introduction Scanning one TCP port at a time is simple, but it is inefficient. Network operations spend most of their time waiting for remote hosts to respond. Instead of scanning ports sequentially,
